DevOps Engineer
Skills
About the role
Job Title: DevOps Engineer
About the Role
We are launching a cutting-edge AI training initiative that leverages real-world engineering expertise to build next-generation intelligent systems. As a DevOps Engineer, you will play a key role in designing, documenting, and translating real-life DevOps and backend incidents into high-quality benchmark scenarios. Your experience with outages, scalability challenges, secure deployments, and distributed systems will directly contribute to training advanced AI models.
Key Responsibilities
Capture and document real-world DevOps and backend engineering incidents, converting them into structured benchmark tasks
Design and contribute to secure, scalable, Kubernetes-native architectures
Build and optimize CI/CD pipelines and infrastructure-as-code workflows
Implement and maintain observability, monitoring, and alerting systems
Work across identity and access management (IAM), infrastructure security, and backend services
Collaborate with engineering teams to build realistic, production-grade workflows
Contribute to best practices for secure and isolated (air-gapped/offline) environments
Required Qualifications
5–15 years of experience in DevOps Engineering, Backend Engineering, or related roles
Bachelor’s degree in Computer Science, Engineering, or a related technical field
Strong hands-on experience building secure and scalable distributed systems
Proven experience in client-facing roles and successfully clearing client interviews
Excellent communication and stakeholder management skills
Technical Skills
Core Expertise
Kubernetes (including tools such as k9s, k3s)
Terraform (Infrastructure as Code)
CI/CD pipelines (preferably GitLab CI)
Docker and containerized environments
Programming & Backend
Proficiency in at least one: Go, Python, or Java
Experience with gRPC and Kubernetes-native services
Preferred Experience
Secure, offline, or air-gapped deployment environments
Distributed systems and/or ML pipeline workflows
Additional Requirements
Candidates must demonstrate hands-on experience across at least five functional areas/tools, including:
Identity & Access Management (IAM)
Observability (Prometheus, Grafana)
CI/CD Pipelines
Keycloak
GitLab CI
Terraform OSS
Kubernetes ecosystem tools
ML / Distributed pipelines (nice to have)
What We Offer
Opportunity to work on next-generation AI systems
Exposure to complex, real-world engineering challenges
Collaborative and high-performance work environment
Career growth in advanced DevOps and AI-driven platforms
Job Type: Full-time
Pay: ₹50,000.00 - ₹100,000.00 per month
Benefits:
Provident Fund
Work Location: In person
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